Probably a simple answer but I am new to coding and this is my first project.
I have managed to sum together the necessary information from individual spreadsheets and would now like to write an 'End of Month' spreadsheet to sum all individual data.
heres what i have so far..
import pandas as pd
from pathlib import Path
path = Path("Spreadsheets")
for file in path.glob("*.xlsx"):
df = pd.read_excel(f"{file}")
client_total = df.groupby(["Nominal"]).sum()["Amount"]
print(client_total)
This returns
Nominal
1118 379
1135 2367
1158 811
Name: Amount, dtype: int64
Nominal
1118 1147.85
1135 422.66
1158 990.68
Name: Amount, dtype: float64
Nominal
1118 736.38
1135 477.40
1158 470.16
Name: Amount, dtype: float64
Please let me know how I can merge these three separate results into one easy to read month total.
Many thanks.
Create list of Series
called out
and then use concat
with sum by index by sum(level=0)
:
out = []
from pathlib import Path
path = Path("Spreadsheets")
for file in path.glob("*.xlsx"):
df = pd.read_excel(f"{file}")
client_total = df.groupby(["Nominal"])["Amount"].sum()
out.append(client_total)
df = pd.concat(out).sum(level=0)
print(df)